Description Usage Format Details Source References Examples
This dataset was used in Andersen et al (2004) to demonstrate normalization of real-time quantitative RT-PCR data by geometric averaging of housekeeping genes.
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A qPCRBatch object which contains an expression matrix with the expression of
13 genes measured in 40 samples. The sample information is saved in the
phenoData slot with variables
Sample.no.sample number.
ClassificationClassification of colon cancer.
The following information on the measured genes is saved in the variables
Symbol and Gene.name of the featureData slot.
UBCUbiquitin C.
UBBUbiquitin B.
SUI1Putative translation initiation factor.
NACANascent-polypeptide-associated complex alpha polypeptide.
FLJ20030Hypothetical protein FLJ20030.
CFL1Cofilin 1 (non-muscle).
ACTBActin, beta.
CLTCClathrin, heavy polypeptide (Hc).
RPS13Ribosomal protein S13.
RPS23Ribosomal protein S23.
GAPDGlyceraldehyde-3-phosphate dehydrogenase.
TPT1Tumor protein, translationally controlled 1.
TUBA6Tubulin alpha 6.
For a detailed annotation see Table 1 in Anderson et al. (2004).
The genes included in this data set were selected by screening 161 colon sample expression profiles.
The data set was obtained from http://www.mdl.dk/Publications_sup1.htm
Claus Lindbjerg Andersen, Jens Ledet Jensen and Torben Falck Orntoft (2004). Normalization of Real-Time Quantitative Reverse Transcription-PCR Data: A Model-Based Variance Estimation Approach to Identify Genes Suited for Normalization, Applied to Bladder and Colon Cancer Data Sets. CANCER RESEARCH 64, 5245-5250, August 1, 2004. http://cancerres.aacrjournals.org/cgi/content/full/64/15/5245
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